1 City



PHOTO BY TYLER MERBLER
Los Angeles, CA has a population of 3.98M people with a median age of 35.6 and a median household income of $54,432. # County

PHOTO BY PAOLO GAMBA
Los Angeles County, CA has a population of 10.1M people with a median age of 36.3 and a median household income of $61,338.
The tech industry ….. doing well….. Many of the most valuable companies are tehc companies
Let’s take a look at the tech industry employment [1] numbers for the past 13 years.

2 Employment Projections


2017 Employment by major occupational group, 2016 and projected 2026 (Numbers in thousands) [1]. Tech employees are compensated nicely due to this tech boom. For example, in 207 while the annual medialn wage for all occupations was $37,000 in the U.S., it was $84,600 for the computer occupations, second only to $102,000 of the management occupations as shown in Table 1.

3 Dinamic Visualizations




Figure 1 shows the total jobs in the city of Los Angeles and County.



Figure 2 shows the evolution of Tech Jobs by zip code from 2012 to 2017

4 Maps



Fig. X shows dot density for all tech jobs in LA county. Each dot = 10 people

5 Correlation Between the CHCI and the Median House Income of Los Angeles County Zip Codes


Fig. 8 shows the association between the 2012 CHCI and the 2016 median household income of 282 zip codes in L.A. County. We can see a very strong correlation correlation between the human capital level [23] and the household income for the zip code in L.A. It demonstrates the importance to invest in education (chci) in order to create more productive workforce and more high paying jobs.

Source - 5-year American Community Survey 2012-2016 Global Innovation Index 2018, World Bank Population Data 2016, Q11 - Current country of residence [19-21]

6 Conclusions

7 References

  1. [1] Assumptions Tech industry employment was calculated using the following: (1) Information jobs (NAICS: 51), and (2) Professional, Scientific, & Technical Skills (NAICS: 54). Data source: Quarterly Census of Employment and Wages (QCEW) developed through a cooperative program between the states and the U.S. Bureau of Labor Statistics.– These data are summarized by Industry Sector (2-digit NAICS).
  2. [2] https://www.bls.gov/emp/tables/emp-by-major-occupational-group.htm

Shape Files - https://data.lacity.org/ Los Angeles Open Data ACS

  1. [23] http://www.anderson.ucla.edu/centers/ucla-anderson-forecast/projects-and-partnerships/city-human-capital-index

8 Acknowledgements

https://flowingdata.com/

https://geocompr.robinlovelace.net/index.html

#googleWalkout [2] and is bad business - says Forbes [3]. In Fig. 1 (above), we use superhero-themes #batman #wonderwoman to visualize the heavy topic of #gender_equality in #datascience. See a bar chart for a more accurate breakdown [4]. Source: survey question Q1 - What is your gender? Sample size = 23,859 respondents

  1. [2] https://www.theverge.com/2018/11/2/18057716/google-walkout-20-thousand-employees-ceo-sundar-pichai-meeting
  2. [3] https://www.forbes.com/sites/womensmedia/2017/08/03/breaking-down-the-gender-gap-in-data-science/#129d1bb74287
  3. [4] https://www.kaggle.com/paultimothymooney/2018-kaggle-machine-learning-data-science-survey
  4. [5] https://en.wikipedia.org/wiki/Generations_in_the_workforce
  5. [6] Sinton, E (2011). ‘Baby boomers are very privileged human beings’ https://www.telegraph.co.uk/finance/personalfinance/pensions/8840963/Baby-boomers-are-very-privileged-human-beings.html retrieved October 23, 2013 from www.telegraph.co.uk
  6. [7] Ken Blanchard Companies. (2009). Next Generation of workers. http://www.kenblanchard.com/img/pub/Blanchard_Next_Generation_of_Workers.pdf Retrieved October 14, 2013, from kenblanchard.com
  7. [8] Adecco Group UK and Ireland. (n.d.). Managing the modern workforce. http://www.adeccogroupuk.co.uk/SiteCollectionDocuments/Adecco-Group-Workplace-Revolution.pdf Retrieved October 13, 2013, from www.Adeccouk.co.uk
  8. ref. needed
  9. [10] https://en.wikipedia.org/wiki/Affluence_in_the_United_States
  10. [11] https://www.epi.org/blog/top-1-0-percent-reaches-highest-wages-ever-up-157-percent-since-1979/
  11. [12] J. Berengueres, Sketch thinking. 2016
  12. [13] https://en.wikipedia.org/wiki/Marimekko#Marimekko_chart
  13. [14] ref. needed
  14. [15] https://www.kaggle.com/ash316/kaggle-journey-2017-2018
  15. [16] https://en.wikipedia.org/wiki/BRICS
  16. [17] https://www.kaggle.com/harriken/brics-growth
  17. [18] See primary vs. secondary color in https://material.io/design/color/the-color-system.html#color-theme-creation
  18. [19] Dutta, S., Reynoso, R.E., Garanasvili, A., Saxena, K., Lanvin, B., Wunsch-Vincent, S., Le?n, L.R. and Guadagno, F., 2018. THE GLOBAL INNOVATION INDEX 2018: ENERGIZING THE WORLD WITH INNOVATION. GLOBAL INNOVATION INDEX 2018, p.1.
  19. [20] CSV file global innovation in https://www.globalinnovationindex.org/analysis-indicator
  20. [21] World Bank, https://data.worldbank.org/indicator/SP.POP.TOTL
  21. [22] https://en.wikipedia.org/wiki/Kendall_rank_correlation_coefficient

The shapefile format is a common way to store data for geographic areas, namely polygons, lines, and points. Each tract is represented as a polygon (i.e. some shape)

Dowload shape files for county from LA Data Portal https://data.lacounty.gov/Geospatial/ZIP-Codes/65v5-jw9f

## 'data.frame':    315 obs. of  9 variables:
##  $ GEOID: chr  "90001" "90002" "90003" "90004" ...
##  $ V1   : num  5545 5546 5547 5548 5549 ...
##  $ year : num  2017 2017 2017 2017 2017 ...
##  $ tech : num  96 5 33 784 606 ...
##  $ info : num  19 0 0 224 279 77 71 111 860 0 ...
##  $ prof : num  77 5 33 560 327 ...
##  $ per  : num  1.03 0.15 0.49 7.61 8.88 ...
##  $ total: num  9334 3320 6720 10296 6824 ...
##  $ name : chr  "Florence/South Central (City of LA)" "Watts (City of LA)" "South Central (City of LA)" "Hancock Park (City of LA)" ...